Job Description

Environmental Management Scientist (AI Training)

About the Role

We're looking for experienced environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the quality and accuracy of AI systems tackling some of the most important topics on the planet.

This is a fully remote, flexible contract role - work on your own schedule while contributing to cutting-edge AI development.

• Organization
  : Alignerr (Powered by Labelbox)
• Type
  : Hourly / Task-Based Contract
• Location
  : Remote
• Commitment
  : 10-40 hours/week

What You'll Do

• Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations
• Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning
• Identify gaps between theoretical environmental models and real-world practice
• Provide structured, detailed feedback to improve the clarity, accuracy, and applicability of AI outputs
• Work independently and asynchronously to complete task-based assignments on your own schedule

Who You Are

• 3+ years of hands-on experience in environmental management, conservation, or a closely related field
• Strong working knowledge of sustainability frameworks, environmental planning principles, and impact assessment methodologies
• Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies
• Skilled at providing clear, structured written feedback
• Self-motivated and comfortable working independently in a remote setting

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience with environmental policy, regulatory compliance, or permitting frameworks
• Familiarity with AI systems, content evaluation workflows, or data annotation

Why Join Us

• Work on cutting-edge AI projects with top research labs and make a real impact on how AI handles environmental topics
• Fully remote and flexible - work from anywhere, on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts
• Gain exposure to advanced large language models (LLMs) and how they are trained and evaluated
• Potential for ongoing work and contract extension based on performance

Job Tags

Hourly pay, Ongoing contract, Contract work, Freelance, Remote work, Flexible hours

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